Implements a wide range of model-based dose
escalation designs, ranging from classical and modern continual
reassessment methods (CRMs) based on dose-limiting toxicity endpoints to
dual-endpoint designs taking into account a biomarker/efficacy outcome. The
focus is on Bayesian inference, making it very easy to setup a new design
with its own JAGS code. However, it is also possible to implement 3+3
designs for comparison or models with non-Bayesian estimation. The whole
package is written in a modular form in the S4 class system, making it very
flexible for adaptation to new models, escalation or stopping rules.

Object-Oriented Implementation of CRM Designs

package-ubuntu-20.04-r-4.0.5#cran#crmPack-1.0.0

## S3 method for class 'gtable'
plot(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>the gtable object</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>additional parameters for <code><a href="../../grid/html/grid.draw.html">grid.draw</a></code></p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#crmPack-1.0.0#docs#plot.gtable

`x`	the gtable object
`...`	additional parameters for `grid.draw`

plot.gtable

Description

Usage

Arguments

crmPack

We don't support your browser anymore